With the increasing popularity of mobile edge computing (MEC) for processing intensive and
delay sensitive IoT applications, the problem of high energy consumption of MEC has …

With the rapid development of edge computing and its applications, requests to edge
servers is expected to grow, resulting in higher edge network energy consumption. This in …

Serverless edge computing decreases unnecessary resource usage on end devices with
limited processing power and storage capacity. Despite its benefits, serverless edge …

Establishing an accurate edge server power model is helpful for resource providers to
predict and optimize power consumption within edge data centers. Considering the fact that …

With the rapid growth of user equipment (UE), the amount of data transmitted over networks
has become enormous, exerting immense pressure on backbone networks and central …

Energy Harvesting (EH) and Multi-access Edge Computing (MEC) are here combined to
build energy-sustainable mobile networks. We consider an edge infrastructure shared …

Renewable energy (RE) is a promising solution to save grid power in mobile edge
computing (MEC) systems and thus reducing the carbon footprints. However, to effectively …

Artificial Intelligence of Things (AIoT) is an emerging area of future Internet of Things (IoT) to
support intelligent IoT applications. In AIoT, intelligent edge computing technologies …

Advances in communication technologies have made the interaction of small devices, such
as smartphones, wearables, and sensors, scattered on the Internet, bringing a whole new …

Recently, the edge resource provisioning schemes were defined considering the low-
latency Mobile Edge Computing (MEC) paradigm. Most of these models only consider …